Senior AI Engineer

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About The Role

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.

What You’ll Do

• Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
• Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
• Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
• Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
  
  

• B.Sc. in Computer Science, Electrical Engineering, or Mathematics
• Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
• 5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
• Experience writing code in Agile, CI/CD-based production environments
• Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
• Strong communication and collaboration skills
• Data-engineering, architecture, data-science roles or security domain knowledge are an advantage